Evidence map›Paper›PMID 27165260›Full record

ArticleTrials2016

Stopping guidelines for an effectiveness trial: what should the protocol specify?

Jon E Tyson, Claudia Pedroza, Dennis Wallace, Carl D'Angio, Edward F Bell, Abhik Das

Abstract readEditorial
In one paragraph

Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Practical risk management in early phase clinical trials.European journal of clinical pharmacology · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jon E TysonCenter for Clinical Research and Evidence-Based Medicine, Department of Pediatrics, University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 2.106, Houston, TX, 77030, USA. jon.e.tyson@uth.tmc.edu.
Claudia PedrozaCenter for Clinical Research and Evidence-Based Medicine, Department of Pediatrics, University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 2.106, Houston, TX, 77030, USA.
Dennis WallaceRTI International, Durham, NC, 27709, USA.
Carl D'AngioUniversity of Rochester School of Medicine and Dentistry, Rochester, NY, 14627, USA.
Edward F BellDepartment of Pediatrics, University of Iowa, Iowa City, IA, 52242, USA.
Abhik DasSocial, Statistical and Environmental Sciences Unit, RTI International, Durham, NC, 27709, USA.

Funding

Neonatal Research Network Data Coordinating Center (DCC)U10HD036790 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI DAS, ABHIK · 2008 to 2017
$62.3M
NICHD Neonatal Research Network -- Cincinnati Clinical CenterUG1HD027853 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI STEPHANIE L MERHAR · 2016 to 2026
$3.7M
NICHD Cooperative Multicenter Neonatal Research NetworkUG1HD053109 · NICHD · UNIVERSITY OF IOWA · PI Tarah Trinity Colaizy · 2016 to 2026
$3.2M
Rochester-Buffalo Neonatal Research GroupUG1HD068263 · NICHD · UNIVERSITY OF ROCHESTER · PI BLISS, JOSEPH MARK · 2016 to 2024
$1.6M
6 · The paper itself

Abstract

backgroundDespite long-standing problems in decisions to stop clinical trials, stopping guidelines are often vague or unspecified in the trial protocol. Clear, well-conceived guidelines are especially important to assist the data monitoring committees for effectiveness trials. MAIN TEXT: To specify better stopping guidelines in the protocol for such trials, the clinical investigators and trial statistician should carefully consider the following kinds of questions: 1. How should the relative importance of the treatment benefits and hazards be assessed? 2. For decisions to stop a trial for benefit: (a) What would be the minimum clinically important difference for the study population? (b) How should the probability that the benefit exceeds that difference be assessed? (c) When should the interim analyses include data from other trials? (d) Would the evidence meet state-of-the-art standards for treatment recommendations and practice guidelines? 3. Should less evidence be required to stop the trial for harm than for benefit? 4. When should conventional stopping guidelines for futility be used for comparative effectiveness trials?

conclusionBoth clinical and statistical expertise are required to address such challenging questions for effectiveness trials. Their joint consideration by clinical investigators and statisticians is needed to define better stopping guidelines before starting the trial.

Indexed as

Clinical Trials as TopicClinical Trials Data Monitoring CommitteesData Interpretation, StatisticalEarly Termination of Clinical TrialsHumansMedical FutilityPatient SafetyPractice Guidelines as TopicResearch DesignRisk AssessmentTreatment FailureClinical trialsData monitoring committeesEffectiveness trialsFutilityStopping guidelines

Identifiers

PMID27165260
PMCPMC4862046

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.